Lead Backend Engineer, Voice Agent Platform

Deepgram

San Francisco (CA)

On-site

USD 150,000 - 230,000

Full time

14 days+
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Job summary

Deepgram in San Francisco is seeking a backend software engineer to lead the design and implementation of its Voice Agent product. You will design and implement secure, scalable services for speech processing, build integrations with telephony providers and AI models, and emphasize testability and observability across a complex chain of systems.

You will contribute as a key voice in Product and Engineering, delivering high-impact features from concept to production in a fast-moving AI-driven

Qualifications

  • 3+ years of experience in an industry role.
  • Programming experience in Rust (or C, C++), with competence in Python.
  • Excellent communication and organizational skills, both written and verbal.
  • A high level of experience and understanding of version control; preferably git.
  • Comprehensive experience with UNIX-style systems.

Responsibilities

  • Improve core backend inference services including networking, speech processing, model orchestration, and observability.
  • Develop integrations with in-house, third-party, and open-source AI models for perception and managing conversational dynamics.
  • Debug complex system issues that include networking, scheduling, and highly concurrent workloads.
  • Rapidly customize backend services to support customer needs.
  • Partner with Product to design and implement new services, features, and/or products end to end.

Skills

Rust
C/C++
Python
UNIX
Git

Tools

Git
UNIX

Job description

Deepgram in San Francisco is seeking a backend software engineer to lead the design and implementation of its Voice Agent product. You will design and implement secure, scalable services for speech processing, build integrations with telephony providers and AI models, and emphasize testability and observability across a complex chain of systems.

You will contribute as a key voice in Product and Engineering, delivering high-impact features from concept to production in a fast-moving AI-driven

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